{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T14:31:33Z","timestamp":1791469893435,"version":"4.3.4"},"update-to":[{"DOI":"10.1371\/journal.pntd.0012984","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T00:00:00Z","timestamp":1747958400000}}],"reference-count":58,"publisher":"Public Library of Science (PLoS)","issue":"4","license":[{"start":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T00:00:00Z","timestamp":1745884800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100006506","name":"Minist\u00e9rio da Sa\u00fade","doi-asserted-by":"publisher","award":["Decentralized execution terms (TED) number 90\/2016 and 139\/2019"],"award-info":[{"award-number":["Decentralized execution terms (TED) number 90\/2016 and 139\/2019"]}],"id":[{"id":"10.13039\/501100006506","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004586","name":"Funda\u00e7\u00e3o Carlos Chagas Filho de Amparo \u00e0 Pesquisa do Estado do Rio de Janeiro","doi-asserted-by":"publisher","award":["E-26\/201.207\/2022"],"award-info":[{"award-number":["E-26\/201.207\/2022"]}],"id":[{"id":"10.13039\/501100004586","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosntds.org"],"crossmark-restriction":false},"short-container-title":["PLoS Negl Trop Dis"],"abstract":"<jats:sec id=\"sec017\">\n<jats:title>Background<\/jats:title>\n<jats:p>Urban arbovirus transmission is spatially and temporally heterogeneous. Estimating the risk of dengue through statistical models that consider simultaneous variability in space and time provides more realistic estimates of transmission dynamics, facilitating the identification of priority areas for intervention focused on surveillance and control. These models also enable predictions to support timely interventions for arboviruses like dengue, chikungunya, and Zika.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec018\">\n<jats:title>Methodology\/principal findings<\/jats:title>\n<jats:p>We analyzed dengue case reports by epidemiological week and neighborhood in Natal, RN from 2015 to 2018. Temporal conditional autoregressive models were fitted using the Integrated Nested Laplace Approximation method. The predictors included a set of entomological, climatic and sociosanitary indicators with temporal lags, along with structures of temporal and spatial dependence. Additionally, we used an offset term to represent the expected number of dengue cases per neighborhood at each epidemiological week, under the hypothesis of homogeneity in the occurrence of cases across the municipality. We forecasted dengue case counts for the subsequent four weeks, addressing both zero occurrences and fluctuations during non-zero periods. Weekly risk dynamics were visualized through predictive maps, enabling the timely identification of neighborhoods with high and persistent dengue risk, that is, areas consistently exhibiting a high number of dengue cases that remained concentrated in the same location for several weeks. The optimal model revealed a significant rise in dengue occurrence probability during the observation week, associated with increased cases in the previous week, the <jats:italic>Aedes<\/jats:italic> egg positivity index from the prior four weeks, and the mean daytime temperature 6\u20138 weeks earlier. Dengue risk also rose with a one-standard-deviation increase in the density of the impoverished population per occupied area and the mean <jats:italic>Aedes<\/jats:italic> egg density index from the preceding 3\u20135 weeks.<\/jats:p>\n<\/jats:sec>\n<jats:sec id=\"sec019\">\n<jats:title>Conclusions\/significance<\/jats:title>\n<jats:p>The proposed Bayesian space-time analysis can contribute to the operational control of dengue and <jats:italic>Aedes aegypti<\/jats:italic> by identifying priority areas and forecasting dengue cases for the next four weeks. It also quantifies the effects of entomological, sociosanitary, climatic and demographic indicators on both the likelihood of dengue occurrence and the intensity of outbreaks.<\/jats:p>\n<\/jats:sec>","DOI":"10.1371\/journal.pntd.0012984","type":"journal-article","created":{"date-parts":[[2025,4,29]],"date-time":"2025-04-29T18:15:01Z","timestamp":1745950501000},"page":"e0012984","update-policy":"https:\/\/doi.org\/10.1371\/journal.pntd.corrections_policy","source":"Crossref","is-referenced-by-count":5,"title":["ARBOALVO: A Bayesian spatiotemporal learning and predictive model for dengue cases in the endemic Northeast city of Natal, Rio Grande do Norte, Brazil"],"prefix":"10.1371","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2489-9300","authenticated-orcid":true,"given":"Mariane Branco","family":"Alves","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6869-8391","authenticated-orcid":true,"given":"Rafael Santos","family":"Erbisti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aline Ara\u00fajo","family":"Nobre","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tayn\u00e3na C\u00e9sar","family":"Sim\u00f5es","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alessandre de Medeiros","family":"Tavares","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M\u00e1rcia Cristina","family":"Melo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rodrigo Moreira","family":"Pedreira","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jan Pierre Martins","family":"de Ara\u00fajo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marilia S\u00e1","family":"Carvalho","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nildimar Alves","family":"Hon\u00f3rio","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2025,4,29]]},"reference":[{"issue":"6","key":"pntd.0012984.ref001","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pntd.0002921","article-title":"Arrival of chikungunya virus in the new world: prospects for spread and impact on public health","volume":"8","author":"SC Weaver","year":"2014","journal-title":"PLoS Negl Trop Dis"},{"issue":"5","key":"pntd.0012984.ref002","first-page":"906","article-title":"Chikungunya: an arbovirus infection in the process of establishment and expansion in Brazil","volume":"31","author":"NA Hon\u00f3rio","year":"2015","journal-title":"Cad Saude Publica"},{"key":"pntd.0012984.ref003","first-page":"36","article-title":"Emerging arboviruses and public health challenges in Brazil","volume":"50","author":"TN Lima-Camara","year":"2016","journal-title":"Rev Saude Publica"},{"issue":"1","key":"pntd.0012984.ref004","doi-asserted-by":"crossref","first-page":"96","DOI":"10.3390\/ijerph15010096","article-title":"The Zika Virus Epidemic in Brazil: From Discovery to Future Implications","volume":"15","author":"R Lowe","year":"2018","journal-title":"Int J Environ Res Public Health"},{"key":"pntd.0012984.ref005","doi-asserted-by":"crossref","first-page":"225","DOI":"10.7476\/9788575412909","volume-title":"Principais mosquitos de import\u00e2ncia sanit\u00e1ria no Brasil Rio de Janeiro","author":"R Consoli","year":"1994"},{"key":"pntd.0012984.ref006","article-title":"The global distribution of the arbovirus vectors Aedes aegypti and Ae. albopictus","volume":"4","author":"MUG Kraemer","year":"2015","journal-title":"Elife"},{"issue":"2","key":"pntd.0012984.ref007","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1590\/S0074-02761986000200019","article-title":"An outbreak of dengue virus at Rio de Janeiro--1986","volume":"81","author":"HG Schatzmayr","year":"1986","journal-title":"Mem Inst Oswaldo Cruz"},{"issue":"5","key":"pntd.0012984.ref008","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1590\/S1020-49892007001000009","article-title":"Dengue viruses in Brazil, 1986-2006","volume":"22","author":"RMR Nogueira","year":"2007","journal-title":"Rev Panam Salud Publica"},{"issue":"3","key":"pntd.0012984.ref009","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1590\/S0074-02762011000300001","article-title":"Dengue virus type 4 arrives in the state of Rio de Janeiro: a challenge for epidemiological surveillance and control","volume":"106","author":"RMR Nogueira","year":"2011","journal-title":"Mem Inst Oswaldo Cruz"},{"key":"pntd.0012984.ref010","first-page":"100274","article-title":"Fast expansion of dengue in Brazil","volume":"12","author":"CT Codeco","year":"2022","journal-title":"Lancet Reg Health Am"},{"issue":"4","key":"pntd.0012984.ref011","doi-asserted-by":"crossref","first-page":"569","DOI":"10.1590\/0074-02760150192","article-title":"First report of autochthonous transmission of Zika virus in Brazil","volume":"110","author":"C Zanluca","year":"2015","journal-title":"Mem Inst Oswaldo Cruz"},{"issue":"3","key":"pntd.0012984.ref012","doi-asserted-by":"crossref","first-page":"629","DOI":"10.5123\/S1679-49742017000300020","article-title":"Identification of surveillance and control priority areas for dengue and other arboviruses transmitted by Aedes aegypti in Natal-RN, Brazil: experience report","volume":"26","author":"IR Barbosa","year":"2017","journal-title":"Epidemiol Serv Saude"},{"issue":"1","key":"pntd.0012984.ref013","doi-asserted-by":"crossref","first-page":"149","DOI":"10.5123\/S1679-49742012000100015","article-title":"Epidemiologia do dengue no Estado do Rio Grande do Norte, Brasil, 2000 a 2009","volume":"21","author":"IR Barbosa","year":"2012","journal-title":"Epidemiol Serv Sa\u00fade"},{"key":"pntd.0012984.ref014","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.ijid.2018.04.3827","article-title":"Effects of climate variables on dengue risk in Natal-RN by generalized models","volume":"73","author":"J Silva","year":"2018","journal-title":"International Journal of Infectious Diseases"},{"key":"pntd.0012984.ref015","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1016\/j.ijid.2021.04.062","article-title":"A prospective, multicentre, cohort study to assess the incidence of dengue illness in households from selected communities in Brazil (2014-2018)","volume":"108","author":"DF de Aguiar","year":"2021","journal-title":"Int J Infect Dis"},{"issue":"1","key":"pntd.0012984.ref016","doi-asserted-by":"crossref","first-page":"932","DOI":"10.1186\/s12889-022-13006-1","article-title":"Model to support intervention prioritization for the control of Aedes aegypti in Brazil: a multi-criteria approach","volume":"22","author":"LA Dos Santos","year":"2022","journal-title":"BMC Public Health"},{"issue":"1","key":"pntd.0012984.ref017","doi-asserted-by":"crossref","first-page":"6550","DOI":"10.1038\/s41598-022-10512-5","article-title":"Data-driven computational intelligence applied to dengue outbreak forecasting: a case study at the scale of the city of Natal, RN-Brazil","volume":"12","author":"I Sanchez-Gendriz","year":"2022","journal-title":"Sci Rep"},{"issue":"3","key":"pntd.0012984.ref018","article-title":"Sociodemographic and environmental factors associated with dengue, Zika, and chikungunya among adolescents from two Brazilian capitals","volume":"17","author":"APR Dalvi","year":"2023","journal-title":"PLoS Negl Trop Dis"},{"issue":"1","key":"pntd.0012984.ref019","doi-asserted-by":"crossref","first-page":"18026","DOI":"10.1038\/s41598-023-42930-4","article-title":"Zika, chikungunya and co-occurrence in Brazil: space-time clusters and associated environmental-socioeconomic factors","volume":"13","author":"R Gardini Sanches Palasio","year":"2023","journal-title":"Sci Rep"},{"key":"pntd.0012984.ref020","article-title":"Changing paradigms in Aedes control: considering the spatial heterogeneity of dengue transmission","volume":"41","author":"V Vanlerberghe","year":"2017","journal-title":"Rev Panam Salud Publica"},{"key":"pntd.0012984.ref021","volume-title":"Technical document for the implementation of interventions based on generic operational scenarios for Aedes aegypti control","author":"PAHO \u2013 Pan American Health Organization","year":"2019"},{"issue":"7","key":"pntd.0012984.ref022","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pntd.0005632","article-title":"Aedes \u00e6gypti control in urban areas: A systemic approach to a complex dynamic","volume":"11","author":"MS Carvalho","year":"2017","journal-title":"PLoS Negl Trop Dis"},{"issue":"3","key":"pntd.0012984.ref023","article-title":"ARBOALVO: territorial stratification for definition of areas for prompt response by surveillance and timely control of urban arbovirus infections","volume":"38","author":"JPCD Santos","year":"2022","journal-title":"Cad Saude Publica"},{"issue":"6","key":"pntd.0012984.ref024","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pntd.0009537","article-title":"Spatio-temporal modelling of the first Chikungunya epidemic in an intra-urban setting: The role of socioeconomic status, environment and temperature","volume":"15","author":"LP Freitas","year":"2021","journal-title":"PLoS Negl Trop Dis"},{"key":"pntd.0012984.ref025","doi-asserted-by":"crossref","first-page":"39","DOI":"10.11606\/s1518-8787.2022056003546","article-title":"ArboAlvo: stratification method for territorial receptivity to urban arboviruses","volume":"56","author":"ASP Siqueira","year":"2022","journal-title":"Rev Saude Publica"},{"issue":"1","key":"pntd.0012984.ref026","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/BF00116466","article-title":"Bayesian image restoration, with two applications in spatial statistics","volume":"43","author":"J Besag","year":"1991","journal-title":"Ann Inst Stat Math"},{"key":"pntd.0012984.ref027","author":"IBGE \u2013 Instituto Brasileiro de Geografia e Estat\u00edstica","year":"2021"},{"issue":"2","key":"pntd.0012984.ref028","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1590\/S0074-02762003000200005","article-title":"Dispersal of Aedes aegypti and Aedes albopictus (Diptera: Culicidae) in an urban endemic dengue area in the State of Rio de Janeiro, Brazil","volume":"98","author":"NA Hon\u00f3rio","year":"2003","journal-title":"Mem Inst Oswaldo Cruz"},{"key":"pntd.0012984.ref029","unstructured":"IBGE \u2013 Instituto Brasileiro de Geografia e Estat\u00edstica. Censo Brasileiro de 2010. Rio de Janeiro: IBGE; 2010."},{"issue":"1","key":"pntd.0012984.ref030","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1007\/s11032-024-01524-2","article-title":"Genomic identification of the NF-Y gene family in apple and functional analysis of MdNF-YB18 involved in flowering transition","volume":"45","author":"C Gao","year":"2024","journal-title":"Mol Breed"},{"issue":"1","key":"pntd.0012984.ref031","doi-asserted-by":"crossref","first-page":"178","DOI":"10.2307\/1911894","article-title":"The Distributed Lag Between Capital Appropriations and Expenditures","volume":"33","author":"S Almon","year":"1965","journal-title":"Econometrica"},{"issue":"3","key":"pntd.0012984.ref032","doi-asserted-by":"crossref","first-page":"320","DOI":"10.1097\/00001648-200005000-00016","article-title":"The distributed lag between air pollution and daily deaths","volume":"11","author":"J Schwartz","year":"2000","journal-title":"Epidemiology"},{"issue":"3","key":"pntd.0012984.ref033","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1093\/biostatistics\/1.3.279","article-title":"Generalized additive distributed lag models: quantifying mortality displacement","volume":"1","author":"A Zanobetti","year":"2000","journal-title":"Biostatistics"},{"key":"pntd.0012984.ref034","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.envres.2016.11.009","article-title":"Association between dengue fever incidence and meteorological factors in Guangzhou, China, 2005-2014","volume":"153","author":"J Xiang","year":"2017","journal-title":"Environ Res"},{"issue":"8","key":"pntd.0012984.ref035","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v043.i08","article-title":"Distributed Lag Linear and Non-Linear Models in R: The Package dlnm","volume":"43","author":"A Gasparrini","year":"2011","journal-title":"J Stat Softw"},{"key":"pntd.0012984.ref036","unstructured":"R Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2022."},{"issue":"1","key":"pntd.0012984.ref037","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","article-title":"Regression Shrinkage and Selection Via the Lasso","volume":"58","author":"R Tibshirani","year":"1996","journal-title":"Journal of the Royal Statistical Society Series B: Statistical Methodology"},{"issue":"1","key":"pntd.0012984.ref038","doi-asserted-by":"crossref","DOI":"10.18637\/jss.v033.i01","article-title":"Regularization Paths for Generalized Linear Models via Coordinate Descent","volume":"33","author":"J Friedman","year":"2010","journal-title":"J Stat Soft"},{"issue":"9","key":"pntd.0012984.ref039","article-title":"Spatiotemporal diffusion of influenza A (H1N1): Starting point and risk factors","volume":"13","author":"ACC da Costa","year":"2018","journal-title":"PLoS One"},{"issue":"2","key":"pntd.0012984.ref040","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1111\/j.1467-9868.2008.00700.x","article-title":"Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations","volume":"71","author":"H Rue","year":"2009","journal-title":"Journal of the Royal Statistical Society Series B: Statistical Methodology"},{"key":"pntd.0012984.ref041","doi-asserted-by":"crossref","DOI":"10.1002\/0470092394","volume-title":"Bayesian models for categorical data","author":"P Congdon","year":"2005"},{"key":"pntd.0012984.ref042","year":"2023"},{"key":"pntd.0012984.ref043","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1146\/annurev.micro.62.081307.163005","article-title":"Global spread and persistence of dengue","volume":"62","author":"JL Kyle","year":"2008","journal-title":"Annu Rev Microbiol"},{"issue":"7446","key":"pntd.0012984.ref044","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1038\/nature12060","article-title":"The global distribution and burden of dengue","volume":"496","author":"S Bhatt","year":"2013","journal-title":"Nature"},{"issue":"6","key":"pntd.0012984.ref045","doi-asserted-by":"crossref","first-page":"1203","DOI":"10.1590\/S0102-311X2009000600003","article-title":"The spatial distribution of Aedes aegypti and Aedes albopictus in a transition zone, Rio de Janeiro, Brazil","volume":"25","author":"NA Hon\u00f3rio","year":"2009","journal-title":"Cad Saude Publica"},{"issue":"1","key":"pntd.0012984.ref046","doi-asserted-by":"crossref","first-page":"2127","DOI":"10.1038\/s41598-020-58542-1","article-title":"Epidemiological study on dengue in southern Brazil under the perspective of climate and poverty","volume":"10","author":"L Bavia","year":"2020","journal-title":"Sci Rep"},{"key":"pntd.0012984.ref047","doi-asserted-by":"crossref","DOI":"10.1017\/S0950268819000608","article-title":"Lag effect of climatic variables on dengue burden in India","volume":"147","author":"SG Kakarla","year":"2019","journal-title":"Epidemiol Infect"},{"issue":"1","key":"pntd.0012984.ref048","doi-asserted-by":"crossref","first-page":"12","DOI":"10.21149\/8141","article-title":"Association of dengue fever with Aedes spp. abundance and climatological effects","volume":"60","author":"\u00c1F Betanzos-Reyes","year":"2018","journal-title":"Salud Publica Mex"},{"issue":"10","key":"pntd.0012984.ref049","doi-asserted-by":"crossref","first-page":"322","DOI":"10.3390\/tropicalmed7100322","article-title":"Dengue Prediction in Latin America Using Machine Learning and the One Health Perspective: A Literature Review","volume":"7","author":"M Cabrera","year":"2022","journal-title":"Trop Med Infect Dis"},{"issue":"4","key":"pntd.0012984.ref050","doi-asserted-by":"crossref","DOI":"10.1016\/S2542-5196(20)30292-8","article-title":"Combined effects of hydrometeorological hazards and urbanisation on dengue risk in Brazil: a spatiotemporal modelling study","volume":"5","author":"R Lowe","year":"2021","journal-title":"Lancet Planet Health"},{"key":"pntd.0012984.ref051","first-page":"29","article-title":"Spatial modelling of the relative risk of dengue fever in Rio de Janeiro for the epidemic period between 2001 and 2002","volume":"20","author":"GS Ferreira","year":"2006","journal-title":"Braz J Probab Stat"},{"issue":"1","key":"pntd.0012984.ref052","doi-asserted-by":"crossref","first-page":"03","DOI":"10.1177\/1471082X0801000102","article-title":"Transfer functions in dynamic generalized linear models","volume":"10","author":"MB Alves","year":"2010","journal-title":"Statistical Modelling"},{"issue":"1","key":"pntd.0012984.ref053","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2307\/1269547","article-title":"Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing","volume":"34","author":"D Lambert","year":"1992","journal-title":"Technometrics"},{"issue":"4","key":"pntd.0012984.ref054","doi-asserted-by":"crossref","first-page":"1030","DOI":"10.1111\/j.0006-341X.2000.01030.x","article-title":"Zero-inflated Poisson and binomial regression with random effects: a case study","volume":"56","author":"DB Hall","year":"2000","journal-title":"Biometrics"},{"issue":"4","key":"pntd.0012984.ref055","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1023\/A:1020910605990","volume":"9","author":"DK Agarwal","year":"2002","journal-title":"Environmental and Ecological Statistics"},{"issue":"1","key":"pntd.0012984.ref056","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1177\/1471082X0800900102","article-title":"Modelling zero-inflated spatio-temporal processes","volume":"9","author":"MV Fernandes","year":"2009","journal-title":"Statistical Modelling"},{"issue":"1","key":"pntd.0012984.ref057","doi-asserted-by":"crossref","first-page":"10003","DOI":"10.1038\/s41598-024-59976-7","article-title":"Zika emergence, persistence, and transmission rate in Colombia: a nationwide application of a space-time Markov switching model","volume":"14","author":"L Picinini Freitas","year":"2024","journal-title":"Sci Rep"},{"issue":"8","key":"pntd.0012984.ref058","doi-asserted-by":"crossref","first-page":"1590","DOI":"10.1177\/09622802221102628","article-title":"A Poisson-multinomial spatial model for simultaneous outbreaks with application to arboviral diseases","volume":"31","author":"AM Schmidt","year":"2022","journal-title":"Stat Methods Med Res"}],"updated-by":[{"DOI":"10.1371\/journal.pntd.0012984","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T00:00:00Z","timestamp":1747958400000}}],"container-title":["PLOS Neglected Tropical Diseases"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pntd.0012984","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T20:12:25Z","timestamp":1748031145000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pntd.0012984"}},"subtitle":[],"editor":[{"given":"Paul O.","family":"Mireji","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2025,4,29]]},"references-count":58,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2025,4,29]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pntd.0012984","relation":{"new_version":[{"id-type":"doi","id":"10.1371\/journal.pntd.0012984","asserted-by":"object"}]},"ISSN":["1935-2735"],"issn-type":[{"value":"1935-2735","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4,29]]}}}